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POSTER: An Online Prefix-Preserving IP Address Anonymization Algorithm for Passive Measurement Systems

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Security and Privacy in Communication Networks (SecureComm 2015)

Abstract

To strike a balance between usefulness of network traces and privacy protection, offline prefix-preserving anonymization has been studied extensively to anoymize IP addresses while preserving their prefix nature. In this paper, a novel Dynamic Subtree-scheduling Packet Anonymization scheme called DS-PAn is developed for measurement systems based on the prefix-preserving algorithm Crypto-PAn. DS-PAn makes online anoymization practical to be operated at a high rate, while using less memory compared to precomputed Crypto-PAn. Performance evaluations validate that the proposed algorithm outperforms the conventional anonymization mechanism in terms of computation speed as well as memory requirement.

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References

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Author information

Authors and Affiliations

  1. Sino-German Joint Software Institute, School of Computer Science and Engineering, Beihang University, Beijing, China

    Kai Cao, Yunchun Li & Hailong Yang

  2. National Computer Network Emergency Response Technical Team/Coordination Center (CNCERT/CC), Beijing, China

    Jiqiang Tang & Xiaoxiang Zou

Authors
  1. Kai Cao
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  2. Yunchun Li
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  3. Hailong Yang
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  4. Jiqiang Tang
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  5. Xiaoxiang Zou
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Corresponding author

Correspondence to Yunchun Li .

Editor information

Editors and Affiliations

  1. The University of Texas at Dallas, Richardson, Texas, USA

    Bhavani Thuraisingham

  2. Indiana University at Bloomington, Bloomington, Indiana, USA

    XiaoFeng Wang

  3. SRI International, Menlo Park, California, USA

    Vinod Yegneswaran

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cao, K., Li, Y., Yang, H., Tang, J., Zou, X. (2015). POSTER: An Online Prefix-Preserving IP Address Anonymization Algorithm for Passive Measurement Systems. In: Thuraisingham, B., Wang, X., Yegneswaran, V. (eds) Security and Privacy in Communication Networks. SecureComm 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-319-28865-9_35

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  • DOI: https://doi.org/10.1007/978-3-319-28865-9_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28864-2

  • Online ISBN: 978-3-319-28865-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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